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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Weisz-Patrault, Daniel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2020Tensile and ductile fracture properties of as-printed 316L stainless steel thin walls obtained by directed energy depositioncitations
- 2020Fast simulation of grain growth based on Orientated Tessellation Updating Methodcitations
- 2020Energetic upscaling strategy for grain growth. I: Fast mesoscopic model based on dissipationcitations
- 2019Fast simulation of grain growth based on Orientated Tessellation Updating Method
- 2019Fast Mesoscopic Simulation Of Grain Growth And Macroscopic Modeling
- 2019Residual Strains In Directed Energy Deposition Additive Manufacturing
- 2019Fast simulation of temperature and phase transitions in directed energy deposition additive manufacturing
- 2019Fast macroscopic thermal analysis for laser metal deposition. Application to multiphase steels
- 2017Energetic approach coupled with analytic solutions for the evaluation of residual stress.
- 2017Energetic approach coupled with analytic solutions for the evaluation of residual stress
- 2012Finding and using inverse analyic methods for coupled thermo-elastic problems
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article
Fast simulation of temperature and phase transitions in directed energy deposition additive manufacturing
Abstract
International audience ; In this contribution, a simplified macroscopic and semi-analytical thermal analysis of directed energy deposition (DED) is presented to obtain computationally efficient simulations of the entire process. Solidification and solid-state phase transitions are taken into account. The model is derived for laser metal powder directed energy deposition, although it can be simply adapted for other focused thermal energy (e.g., electron beam, or plasma arc). The gas flow used for carrying the powder significantly influences cooling conditions, which is included in the model. The proposed simulation strategy applies to multilayer composites with a wide range of shapes in the horizontal plane and arbitrary laser scanning strategies (continuous way, back and forth, etc.). The proposed work provides a simple tool to study the influence of most process parameters, design in-situ experiments and in turn develop optimization loops to reach material requirements and specific microstructures. In-situ pyrometer measurements have been compared to the model, and good agreement has been observed with 2.6% error in average. The model is used to demonstrate the effect of various process parameters for a simple cylindrical geometry and a more complex auxetic cell.